Member of Technical Staff, Agentic Release Engineer

Vapi (/ˈVɑːpi/):

• Voice AI that resolves, not transfers

• Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life

• Trusted by 1 million developers building the future of voice agents

• Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised

• Try talking to Vapi now!

Why We’re Hiring This Role:

• Vapi ships hundreds of pull requests a day while serving some of the world’s largest enterprises. Every release must stay fast, safe, observable, and predictable at scale.

• Our CI and deployment systems are critical product infrastructure. We need a senior/staff engineer to remove bottlenecks, repair fragile deploy paths, and increase confidence without slowing product teams.

• You’ll own the systems behind safe releases, including Argo CD, Terraform, and Atlantis—and automate the reliable path. This role focuses on CI/CD, testing, and deployment safety, not primary incident response.

What You’ll Do:

• 30 Days: Map Vapi’s release architecture end to end. Partner with product and infrastructure engineers, baseline CI/test/deploy performance, identify the biggest failure modes, and ship an initial improvement.

• 60 Days: Own the release-tooling roadmap and operating health. Remove the costliest CI/deploy bottlenecks, improve observability and diagnosis, and automate slow or failure-prone workflows.

• 90 Days: Establish a repeatable model for safe, fast releases with measurable gains in validation time, deploy speed, and reliability. Deliver self-service workflows and guardrails, and set the longer-term release-infrastructure roadmap.

Who You Are:

• Evidence of owning critical CI/CD or release infrastructure at meaningful scale and driving measurable cross-team improvements. We care about impact, not a specific number of years.

• Strong distributed-systems fundamentals and the ability to diagnose failures across build, test, deployment, and infrastructure layers.

• Hands-on experience operating Kubernetes-based delivery systems and infrastructure-as-code tooling such as Argo CD, Terraform, and Atlantis or comparable systems.

• A habit of automating repetitive work, investing in testing and passive defenses, and using data to prove that a system became faster or more reliable.

• Deep curiosity and the ability to gather context quickly, form a clear point of view, and keep pace as the architecture and product evolve.

• A low-ego teammate who communicates clearly and owns outcomes. Familiarity with AI coding tools is expected; experience as an SRE, with development frameworks like multi-agent workflows, and programming languages like TypeScript and Go are a plus.

• This is a full-time, hybrid role in San Francisco.

How We Work:

• Build something worthy of love

  • Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate.

• Commit and follow through

  • We finish what we start and build trust by being people others can count on.

• Why not today?

  • We value urgency and momentum. The fastest path to customer value usually wins.

• Seek raw input

  • We go directly to customers, data, and teammates instead of relying on summaries or assumptions.

• It’s our problem

  • We operate as one team. We share credit, own mistakes together, and support each other when things get hard.

• Be direct and kind

  • We give feedback clearly, respectfully, and without delay.

Why Vapi:

• Generational impact : Build the human interface for every business

• Ownership culture : Many of us are previous founders

• Kind team : The founders, Jordan and Nikhil, are Canadians

• Tier-1 Investors : YC, KP seed, Bessemer Series A

What We Offer:

• Real stake : $235,000–$280,000 base salary, plus meaningful equity ownership

• Comprehensive health coverage : medical, dental, and vision plans

• Team love : We love hanging out, and we do quarterly off-sites

• Flexible time off : take what you need

• More : catered meals, transportation, equipment, and a $10k annual L&D budget